Webinar: AI as a coach in self-regulated learning: opportunities and risks

AI offers opportunities for self-regulated learning in various educational situations, such as during lessons, when doing assignments and during internships. But AI also carries risks, such as bias (prejudice) and hallucination. It is therefore important to always look critically at the output of AI systems.

In this webinar, you will gain insight into:

• The ways AI can be used for self-regulated learning in mbo, hbo and wo.
• How to use AI creatively and critically.
• What it takes to use AI responsibly to promote self-regulation.

Speakers:

• Derk Bransen, Co-Creation Manager at Education Lab NL | PhD
  Derk Bransen talks about the role of AI in self-regulated learning. He presents practical examples of AI tools that can support students in regulating learning processes. In addition, he shows how these technologies can help students better direct their own learning.
  
• Marieke van Osch, Educationalist, specialisation: Digitalisation and Innovation | Co-creation | Learning Resources | AI | Connecting
  Marieke van Osch talks about the risks of blindly accepting the outcomes of AI systems. She emphasises the importance of critical thinking in both lecturers and students, and the need for good subject knowledge to correctly interpret AI results. She also talks about what to look out for if you want to use AI responsibly in learning systems or in dashboarding.
  
• Erdinc Sacan, Lecturer/Researcher, Generative Artificial Intelligence, Digital Marketing, Entrepreneurship, Social Media
  Erdinc Sacan shares his experience organising a hackathon around AI, which focused on self-regulated learning. He discusses how hands-on initiatives such as hackathons can help students not only understand AI, but also use it to improve their own learning.